Senior Data Scientist @ Deutsche Telekom

  • Full-time

Company Description

At T-Systems, you will find groundbreaking projects that contribute to social and ecological well-being. We want to welcome new talents like you, who bring fresh ideas, different perspectives, embrace challenges, and are committed to continuous learning in order to grow and make an impact on society... all in a fun way!

It doesn't matter when or where you work. It's about doing meaningful work that advances society. For this reason, we will do everything possible to ensure that you have all the development opportunities by providing a support network, excellent technology, a new work environment, and the freedom to work autonomously. We support you in growing both personally and professionally so that you can make a notable impact on society.

T-Systems is a team of around 28,000 employees worldwide, making us one of the leading global providers of end-to-end integrated solutions. We develop hybrid cloud solutions, artificial intelligence, and drive the digital transformation of companies, industries, the public sector, and ultimately, society as a whole

Job Description

The company Deutsche Telekom Technik GmbH is a 100 percent subsidiary of Telekom Deutschland GmbH and provides the nationwide technical infrastructure of the group. Around 19,000 employees at DT Technik plan, design, build and operate the facilities and systems of the technical infrastructure nationwide on behalf of Telekom Deutschland GmbH. The company implements network projects, operates the network technology and, if necessary, takes over the maintenance of the technical infrastructure. 


The Tribe Voice & Messaging is responsible for the design, development, planning, validation and operation of all voice and messaging platforms in DT Technik's fixed and mobile network over their entire lifecycle. We provide innovative, reliable state-of-the-art services to our cellular- and landline-based customers. 


The scope of a current program is to bring voice & messaging applications into the cloud. We’ll change the today’s model of separated fixed and mobile systems and merge them. That’s why we want you on our team. 

Qualifications

Must to have skills:    

  • Experience with Development of scalable Machine Learning Frameworks
    • Track record of relevant project experience in setting up an Machine Learning framework and successfully identifies anomalies in complex data patterns.
  • • Time Series Anomaly Detection with Seasonality:
    • Experience in developing a uni-/multi-variate anomaly detection solution tailored for a system operators. Leveraging (performance) system metrics with a strong weekly seasonality, effectively deviations in system behavior should be identified.
  • Focus on On-Premises, light-weight Solutions
    • Experience in setting up on-prem solutions, that do not depend on public-cloud frameworks  (limitations due to data privacy)    
  • Hands-On Mentality
    • Prioritized effectiveness over perfection by swiftly building solutions that met customer requirements. 
    • Rather than designing ideal, but complex solution with high resource demand, a pragmatic approach was taken to deliver results promptly, improving time to market
  • Customer-Centric Approach
    • Actively engaged with customers to understand their problem statements. Instead of waiting for explicit demands, we proactively presented solutions, showcasing what is possible and addressing their needs.
  • DevOps & Kubernetes Experience
    • Relevant experience in developing Kubernetes native applications, DevOps methods and 24/7 maintenance of customer facing services
  • Language English


Nice to have skills: 

  • Understanding German would be helpful (optional)
  • Basic IMS knowledge with relevant communication protocols (e.g. SIP and RTP) and Telecommunications Industry experience preferred


Tools & Platforms:
GitLab, Time Series Data Bases, Grafana, Prometheus

Additional Information

What do we offer you?

- International, positive, dynamic, and motivated work environment.
- Hybrid work model (telework/face-to-face).
- Flexible schedule.
- Continuous training.
- Flexible Compensation Plan.
- Life and accident insurance.
- More than 25 working days of vacation per year.
And many more advantages of being part of T-Systems!

If you are looking for a new challenge, do not hesitate to send us your CV! Please send CV in English. Join our team!

T-Systems Iberia will only process the CVs of candidates who meet the requirements specified for each offer.

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